{"uid":"cap_UvCwTdu9zi_5yhHZdxpVL","slug":"label-review-analytics-string-normalisation-daily-sum-series-18e5102d","name":"Label Review Analytics — String Normalisation + Daily Sum Series","description":"Label review — String normalisation + Daily sum series: String normalisation + Daily sum series for supplied label review records (reviewed_records, changed_labels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-12-027?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","reviewed_records","changed_labels"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"changed_labels":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"reviewed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","changed_labels":1,"reviewed_records":10},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","changed_labels":2,"reviewed_records":20},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","changed_labels":3,"reviewed_records":15},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","changed_labels":4,"reviewed_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["reviewed_records","changed_labels"],"type":"string","default":"reviewed_records"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_JtgO39Xq8PoCb6vQDZiGp","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs two local analytical reports (string normalisation and daily sum series) on label review data containing reviewed_records and changed_labels fields, for up to 200 rows.","exampleAgentPrompt":"I have 4 rows of label review data — row-1 through row-4 dated 2026-10-01 to 2026-10-04 across groups group-a and group-b, with reviewed_records values 10, 20, 15, 30 and changed_labels 1, 2, 3, 4 — can you run both the string normalisation and daily sum series reports on the reviewed_records field?","exampleUseCases":[{"title":"Daily trend in annotation corrections","prompt":"I've got 50 rows of label review records from my ML annotation team, each with a date, dataset group, and counts of reviewed records and changed labels — can you produce the daily sum series for changed_labels so I can see which days had the most corrections?"},{"title":"String normalisation across dataset groups","prompt":"My label review export has inconsistent string formatting in the dataset_group field across about 80 rows dated through October 2026 — can you run the string normalisation report on the reviewed_records field to clean those up?"},{"title":"Dual-report label audit for QA pipeline","prompt":"We just finished a labeling sprint and I have 120 rows of audit data with date, group, reviewed_records, and changed_labels — run both the string normalisation and daily sum reports on changed_labels so we can share the summary with the QA team."}],"resultDescription":"Two analytical reports generated locally without any external lookups: (1) a string normalisation report standardising string fields across the supplied label review rows, and (2) a daily sum series aggregating the selected numeric field (reviewed_records or changed_labels) by date — covering up to 200 input rows.","failureModes":["Input exceeds 200 rows — request will be rejected","Missing required fields (row_id, date, reviewed_records, changed_labels) cause validation errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values outside [-1,000,000,000,000, 1,000,000,000,000] are rejected","Invalid field selector (not 'reviewed_records' or 'changed_labels') causes error","Empty rows array is rejected"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation and a daily sum time series computed together on label review or annotation audit data in a single low-cost call, without requiring any external data enrichment, prediction, or live lookups. It is ideal for offline or batch post-processing of annotation pipeline exports up to 200 rows where the two bundled reports (normalisation + daily aggregation) match your analytical need.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T00:53:39.877Z","isFirstParty":false,"canonicalSlug":"label-review-analytics-string-normalisation-daily-sum-series-18e5102d"}